A Fast Reading and Processing Method of Obstacle Detection in Changing Environment Using Color and Texture
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 8
Abstract
A leading obstacle detection algorithm based on color and texture feature used monocular vision is basically described in this paper. The purpose of this paper is to provide an eye to a visually impaired people so that he is able to safely navigate in a surrounding environment of the campus. Color and texture feature is used to implement the algorithm. Color information is easily available and computationally cheap to process the image. Color of surface changes dramatically when the illumination condition changes so in many cases, color information alone is not sufficient to detect an obstacle in the path of visually impaired people. To safely navigate in campus texture feature is used with color feature. A set of 100 sample images is collected from the College campus. Our algorithm learns a set of color and texture feature from a set of sample images and the only most effective features are used in classification. As our algorithm works in challenging outdoor environment it achieves better performance and efficiency to locate an obstacle and to navigate safely in campus.
Authors and Affiliations
Priya Singla, Neha Goyal
Keywords
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- EP ID EP18586
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